Senior Technical Program Manager, AI Software

Role overview

The Deep Learning Software Team is seeking a Senior Technical Program Manager (AI Software) to lead software initiatives and help enable Gen AI model development for NVIDIA researchers and engineers. The role drives engineering programs at a fast pace, ensuring strong planning, coordination, and execution across multi-functional teams.

Responsibilities

• Partner with cross-company teams to plan programs, coordinate execution, and meet business objectives
• Lead engineering program management across:
  • planning, forecasting, documentation, scheduling
  • effective meetings, multi-faceted prioritization
  • dependency management, reporting
  • escalation and resolution of critical/blocking issues
• Guide teams in the use of Agile methodologies
• Develop and implement metrics to measure program effectiveness and identify improvement areas
• Report program status to senior management with insights and recommendations
• Coordinate with multi-functional leads to drive organizational alignment and streamline processes
• Work with matrixed, multi-functional teams on advanced and complex, sometimes conflicting, customer requirements
• Moderate technical discussions to reach successful outcomes
• Act as a liaison between developers and customers (technical and non-technical audiences)

Requirements

• Bachelor’s degree (or equivalent experience) in a related field; demonstrated program management expertise and mastery of technical/management practices
• 10+ years program management experience, including leading global projects across multiple time zones
• Proven ability engaging and moderating successful partnerships with engineering teams and vendors
• Strong communication and presentation skills across technical/non-technical audiences
• Deep understanding of software engineering principles and enterprise systems quality requirements
• Strong multitasking, thoroughness, and rapid context switching
• Knowledge of Agile, plus project planning and task tracking tools
• Experience with AI training environments and resource capacity planning
• Proactive approach to improving software engineering and release management
• Ability to use project management tools such as Jira, Aha!, Confluence and distributed version control (Git)

Nice to have

• Background in computer science, machine learning, deep learning, open source software, and GPU technology
• Experience with production application software development, release/support, and DevOps
• Experience managing customer workflows using large-scale distributed computing and working with AI researchers
• Experience in training and evaluating AI models
• Track record of process improvements and measuring efficiency
• Passion for knowledge sharing and driving complex projects end-to-end